The seminar is intended for master students with a solid background in high-dimensional statistics or probability. It will take place as a block seminar towards the end of the semester.
The goal is to discuss recent topics in high-dimensional statistics and probability. Particular areas of focus include:
1) Inference in high- and infinite-dimensional statistical models
2) Nonasymptotic random matrix theory with applications to signal processing
3) Random matrix theory with applications to deep learning
4) Manifold learning and topological data analysis
| Frequency | Weekday | Time | Format / Place | Period |
|---|
| Module | Course | Requirements | |
|---|---|---|---|
| 24-M-P1 Profile Module 1 Profilierung 1 | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P1a Profile Module 1, Part A Profilierung 1 Teil A | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P1b Profile Module 1, Part B Profilierung 1 Teil B | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-P2 Profile Module 2 Profilierung 2 | Profilierungsseminar | Study requirement
|
Student information |
| 24-M-PWM Profile Module Economic Mathematics Profilierung Wirtschaftsmathematik | Profilierungsseminar | Study requirement
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.